Manager of Operating Systems and Platforms

We are seeking a dynamic and experienced Manager of Operating Systems and Platforms to lead our technical team at dstaff. In this pivotal role, you will oversee the management and implementation of high-performance operating systems and platform solutions. Your leadership will drive innovation and operational excellence, ensuring that our systems are reliabl…

Join Intuitive Surgical, a pioneering leader in minimally invasive robotic-assisted surgery, as a System Software Lab Operations Manager. In this role, you will be pivotal in overseeing the daily operations of our software lab, ensuring the seamless integration of cutting-edge technology into our surgical systems. Collaborate with cross-functional teams to enhance product development and maintain exemplary operational standards.

At Cerebras Systems, we are revolutionizing AI computing by developing the world’s largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture provides the computational power equivalent to dozens of GPUs on a single chip, simplifying programming to the level of a single device. This unique approach enables us to achieve unparalleled training and inference speeds, allowing machine learning practitioners to run large-scale ML applications without the complexity of managing multiple GPUs or TPUs.Our esteemed clientele includes leading model laboratories, prominent global enterprises, and forward-thinking AI-native startups. Notably, OpenAI has entered a multi-year partnership with Cerebras to leverage 750 megawatts of scale, enhancing critical workloads with ultra-high-speed inference.With our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution globally, outperforming GPU-based hyperscale cloud inference services by over tenfold. This dramatic increase in speed is transforming how users experience AI applications, facilitating real-time iterations and enhancing intelligence through additional agentic computation.Location: Toronto / SunnyvaleWe are seeking a highly technical, hands-on engineering leader for our Inference Service Platform. In this role, you will guide a high-performing team to address a critical challenge: scaling large language model (LLM) inference on Cerebras’ advanced compute clusters and delivering a world-class, on-premise solution for enterprise customers. You will establish the technical vision while maintaining close engagement with the code, focusing on architecting highly reliable and low-latency distributed systems. If you possess proven expertise in distributed systems and scaling modern model-serving frameworks, we encourage you to apply.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technologies. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based company is developing the essential digital infrastructure to integrate intelligence into every moving machine worldwide. Applied Intuition serves pivotal sectors including automotive, defense, trucking, construction, mining, and agriculture through three primary domains: tools and infrastructure, operating systems, and autonomy. The company’s innovative solutions are trusted by 18 of the top 20 global automotive manufacturers, as well as the U.S. military and allied forces. Headquartered in Sunnyvale, California, Applied Intuition also has offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We operate with an in-office culture, expecting our employees to primarily work from the Applied Intuition office five days a week. However, we value flexibility and trust our team members to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home, or leaving earlier for family commitments.About the RoleWe are seeking a skilled System Safety Engineer with a strong background in automotive systems and software. This role involves the development and management of functional safety requirements for the systems associated with a new Applied Intuition product.In this position, you will be responsible for:Process Development: Establish and implement an ISO 26262 compliant development process, including creating safety manuals, templates, and internal procedural guidelines while adapting to existing customer processes.Safety Lifecycle Management: Lead and execute comprehensive functional safety activities (ISO 26262) from item definition to safety validation for Advanced Driver Assistance Systems (ADAS) and autonomous features (Parts 2, 3, 4 of ISO 26262:2018).System Architecture: Utilize in-depth knowledge of system-level functional safety to design robust fault detection, mitigation strategies, and safe-state transitions.

About Applied IntuitionFounded in 2017, Applied Intuition, Inc. is at the forefront of revolutionizing physical AI. With a valuation of $15 billion, this Silicon Valley powerhouse is dedicated to constructing the digital backbone required to infuse intelligence into every moving machine globally. We serve a diverse range of industries including automotive, defense, trucking, construction, mining, and agriculture through three pivotal domains: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by eighteen of the top twenty global automakers and the United States military alongside its allies. Headquartered in Sunnyvale, California, we also have offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We uphold a culture of in-office collaboration, expecting our employees to primarily work from our Applied Intuition offices five days a week. That said, we embrace flexibility, empowering our staff to responsibly manage their schedules, which may include occasional remote work or adjusting hours for family commitments.About the RoleJoin our NextGen OS team, where we are committed to developing Applied Intuition's operating system (OS) stack for future vehicles and innovative products. This is a singular opportunity to contribute to the creation and advancement of a next-generation full-stack operating system.As a Software Engineer on this team, you will be responsible for designing, developing, and implementing fundamental OS components such as the kernel, system services, runtime, application frameworks, BSPs, and hardware abstraction layers. As one of the first hires, your contributions will play a crucial role in shaping both architectural and implementation decisions, directly influencing the future of our OS.Your Responsibilities at Applied Intuition:Define the overall architecture and roadmap of the operating system.Collaborate closely with existing open-source projects, become a committer, and submit RFCs.Write and review critical, performance-oriented code across core OS components.Lead...

Join the Future of AI at Applied IntuitionAt Applied Intuition, we're driving the evolution of physical AI. Established in 2017 and currently valued at an impressive $15 billion, our Silicon Valley-based company is crafting the digital backbone essential for infusing intelligence into every moving machine worldwide. We cater to diverse sectors, including automotive, defense, trucking, construction, mining, and agriculture, focusing on tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the top 20 global automakers as well as the U.S. military and its allies to provide unparalleled physical intelligence. Our headquarters is in Sunnyvale, California, with additional offices across the globe including Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more about us at applied.co.We are an in-office company, expecting our employees to primarily work from their Applied Intuition office 5 days a week. However, we value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work or adjustments to accommodate family commitments.Meet Our Systems Engineers!Our systems engineers define and shape the complexities of developing safe and reliable autonomous systems, engaging in every stage of the development process from concept to deployment. Hear from our engineers to discover their journey at Applied Intuition and what keeps them motivated.Role OverviewWe are seeking a skilled Systems Engineer with a robust background in robotics and software. This role entails creating and managing system and software requirements for a groundbreaking product at Applied Intuition. You will significantly influence the technical direction of this project, ensuring its success.

Cerebras Systems is pioneering the future of AI with the world’s largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers the AI compute power equivalent to dozens of GPUs on a single chip, simplifying programming to the level of a single device. This unique approach empowers users to achieve unmatched training and inference speeds, enabling them to seamlessly run large-scale machine learning applications without the complexities of managing multiple GPUs or TPUs.Cerebras' clientele includes leading model labs, major global enterprises, and breakthrough AI-native startups. Recently, OpenAI announced a multi-year partnership with Cerebras to harness 750 megawatts of scale, revolutionizing key workloads with ultra high-speed inference.Our revolutionary wafer-scale architecture offers the fastest Generative AI inference solution globally, surpassing GPU-based hyperscale cloud inference services by over tenfold. This dramatic increase in speed enhances the user experience of AI applications, enabling real-time iteration and enhanced intelligence through additional agentic computation.About The RoleAs the Contracts & Legal Operations Manager at Cerebras, you will play a pivotal role in enhancing our contract management systems and processes. Your responsibilities will encompass negotiating a variety of contracts, structuring and maintaining compliance programs for intricate commercial transactions, and managing diligence data rooms. This position offers an opportunity to expand your skillset while addressing a diverse range of legal challenges alongside a team dedicated to advancing cutting-edge AI and computing technologies.

At Coram AI, we are revolutionizing video security for today's world. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses to enhance safety, make informed decisions, and improve operational efficiency. From real-time alerts to effortless clip sharing and comprehensive multi-site visibility, we are at the forefront of security technology.As part of our dynamic and agile team, you will find a culture that prioritizes clarity, craftsmanship, and meaningful impact. Every team member contributes their unique voice, delivers significant work, and plays a crucial role in shaping how AI can foster a safer, more connected world.We are seeking a technically adept Engineering Manager to oversee our Platform team. This team is responsible for developing the essential real-time infrastructure that supports distributed edge systems under stringent latency, memory, and reliability constraints.In this hands-on leadership position, you will manage a team of highly skilled engineers focused on low-level systems, high-performance networking, concurrency, and edge computing. While expertise in robotics is not a prerequisite, extensive experience in real-time or low-latency systems, along with a capability to dive deep into technical challenges when necessary, is essential.Your Responsibilities• Collaborate with product and leadership teams to outline the technical roadmap for the Platform team.• Spearhead architectural design for distributed edge systems that operate under strict latency and memory constraints.• Manage and prioritize multiple concurrent projects while addressing production challenges and adapting to evolving customer requirements.• Perform thorough design and code reviews to guarantee high reliability and performance of the systems.• Delve into C++ or low-level system code as needed to resolve critical issues.• Supervise the development of IPC, messaging, and real-time data pipelines.• Establish robust engineering processes focusing on observability, testing, and production stability.• Recruit, mentor, and cultivate a high-performing team of systems engineers.• Promote a culture of ownership, technical excellence, and disciplined execution.Qualifications We Seek• A minimum of several years managing engineers working on complex systems.• Strong foundation in computer science principles, including algorithms, data structures, operating systems, and networking.• A history of being a strong individual contributor earlier in your career.• Extensive experience in building or leading real-time or low-latency distributed systems.

Cerebras Systems is at the forefront of AI technology, creating the largest AI chip in the world, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture provides AI compute power equivalent to dozens of GPUs on a single chip, while ensuring the programming simplicity of a single device. This unique approach enables Cerebras to achieve industry-leading training and inference speeds, empowering machine learning practitioners to run extensive ML applications without the complexities of managing multiple GPUs or TPUs.Our clientele includes leading model labs, global corporations, and pioneering AI-native startups. Recently, OpenAI announced a multi-year collaboration with Cerebras to utilize 750 megawatts of scale, revolutionizing important workloads with ultra-high-speed inference.With our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution globally, outperforming GPU-based hyperscale cloud inference services by over tenfold. This remarkable speed enhancement is reshaping the user experience of AI applications, facilitating real-time iterations and amplifying intelligence through enhanced agentic computation.About The RoleAs a Compute / Server Platform Architect within the Cluster Architecture Team, you will be responsible for the server-side platform architecture that empowers Cerebras CS3-based AI clusters (for both training and inference), ensuring predictable performance, scalability, and reliability. Our accelerators are network-attached, making the x86 server fleet an integral component of the end-to-end system. This system supports critical runtime functions such as orchestration, prompt caching, and IO/control services, necessitating co-design with software to optimize token-level latency, throughput, and cost efficiency. You will translate workload behaviors into requirements for CPU, memory, IO, PCIe, and host networking, lead platform evaluations with vendors, and provide technical direction through qualification and production adoption in close collaboration with other leaders and technical project managers.

CoreWeave is seeking a Security Engineering Manager to lead the Platform Security team. This position is based in Livingston, NJ, New York, NY, Sunnyvale, CA, Bellevue, WA, or San Francisco, CA. The team’s mission is to embed security into CoreWeave’s Kubernetes-based platform and public cloud environments, supporting high-performance infrastructure for AI and machine learning workloads. Role overview This manager will oversee and expand the Platform Security engineering team, reporting to the Senior Director of Security Foundations. The focus is on hands-on leadership and technical execution, with an emphasis on building and implementing security controls rather than policy development. The role requires close collaboration with Infrastructure, Platform Engineering, Site Reliability Engineering, and other security teams to ensure security measures keep pace with business growth and evolving needs. What you will do Lead and grow the Platform Security engineering team. Integrate security into Kubernetes infrastructure and public cloud platforms such as AWS, GCP, and Azure. Define and execute strategies for cloud security posture, workload isolation, platform guardrails, image integrity, and multi-cloud security. Develop and implement security controls across CoreWeave’s infrastructure. Work closely with other technical teams to align platform security with business needs. The Platform Security team The Platform Security team at CoreWeave engineers systems that enforce security at the infrastructure layer. Their work spans both CoreWeave’s own Kubernetes-based platform and third-party public cloud environments. The team supports GPU-accelerated infrastructure for demanding AI and machine learning workloads, ensuring that both customer and internal services remain secure as CoreWeave’s global presence expands.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI. Established in 2017 and now boasting a valuation of $15 billion, this Silicon Valley powerhouse is constructing the digital infrastructure necessary to infuse intelligence into every machine in motion worldwide. Our company serves a diverse array of sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three primary areas: tools and infrastructure, operating systems, and autonomy. Trust in our solutions is reflected by eighteen of the top twenty global automakers, alongside the United States military and its allies, to deliver physical intelligence. Headquartered in Sunnyvale, California, we have a presence in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.While we expect our employees to primarily work from their Applied Intuition office five days a week, we appreciate the value of flexibility and trust our team to manage their schedules responsibly. This can include occasional remote work, attending morning meetings from home, or adjusting hours to accommodate family commitments.About the RoleWe are seeking an Engineering Manager to lead our Data Platform team within the Data Engineering group. In this pivotal role, you will oversee a top-tier data engineering team responsible for managing the complete data lifecycle—from collection and ingestion to storage, querying, and retrieval—at a scale of hundreds of petabytes.Collaboration with various business units across Applied Intuition is key to defining the technical roadmap for our data platform, ensuring robust support for both external products and internal tools across cloud, hybrid, and on-premises deployments. This is a highly collaborative leadership position that demands deep technical expertise, exceptional people management abilities, and a strong sense of ownership. At Applied Intuition, engineering managers are expected to be engaged leaders who contribute actively to technical direction alongside people management.In this Role, You Will:Lead, develop, and mentor a team of data infrastructure engineers, nurturing a culture of technical excellence, ownership, and collaboration.Define and drive the technical strategy...

Role overview intuitive seeks a Program Manager to guide Growth Platforms initiatives in Sunnyvale. This role shapes strategy for growth and refines platform offerings to build stronger user engagement and satisfaction. What you will do Lead cross-functional teams through all stages of growth platform projects, from initial concept to final delivery Manage project schedules and keep milestones and deliverables on track Analyze market trends and user feedback to recommend platform improvements Collaborate with stakeholders to ensure growth plans support company goals Requirements Experience managing programs or projects, preferably focused on platform or product growth Strong skills in collaboration and communication Ability to interpret market data and user insights Comfort working with multiple teams to achieve shared objectives This position is located in Sunnyvale.

About CeribellCeribell is at the forefront of medical technology, dedicated to revolutionizing the diagnosis and treatment of patients with serious neurological disorders. Our innovative Ceribell System is a state-of-the-art, point-of-care electroencephalography (EEG) platform designed to meet the critical needs of patients in acute care environments. It is currently utilized in numerous community hospitals, esteemed academic institutions, and major integrated delivery networks across the nation. Our passionate team is united in our mission to reshape critical care with our advanced seizure detection technology. Join us in making a difference!Position Overview:We are on the lookout for an exceptionally skilled Director of Systems Engineering to spearhead the development of core electrical hardware, systems, and software for our next-generation products while providing valuable systems engineering leadership for existing products. In this vital role, you will act as the primary technical leader responsible for transforming complex user requirements into effective system architectures. You will manage and expand a diverse team comprising Electrical Engineering, Systems Engineering, and Software/Embedded Linux experts. Additionally, you will oversee the complete system integration, ensuring flawless interaction between hardware and software systems while guiding key external partners and development initiatives.Your Responsibilities:Engineering Leadership: Lead, mentor, and nurture the growth of the Electrical, Systems, and embedded software engineering teams.Systems Engineering & Architecture: Take ownership of the system-level architecture for both core and next-generation products. Drive the generation and traceability of requirements across hardware and software disciplines, ensuring designs are reliable, scalable, and manufacturable.Software Oversight: Direct the software development strategy for next-gen products, overseeing both the embedded stack and OS-SW teams, driving OS-level configurations, kernel optimizations, and managing external contractors for board support packages (BSPs).Hardware Execution: Lead the Electrical Engineering team through the entire hardware lifecycle, from component selection and schematic capture to PCB layout, board bring-up, and design for manufacturability (DFM).Cross-Functional Integration: Collaborate across various departments to ensure cohesive and integrated product development.

Join CoreWeave as an IT Operations Manager, where you will oversee our IT operations and ensure the seamless functioning of our technology infrastructure. In this pivotal role, you will lead a team of IT professionals, manage projects, and implement solutions that enhance our operational efficiency. Your expertise will be crucial in driving innovation and establishing best practices across the organization.

Cerebras Systems is revolutionizing the AI industry by developing the world’s largest AI chip, 56 times the size of traditional GPUs. Our innovative wafer-scale architecture delivers the computational power of dozens of GPUs on a single chip, while simplifying programming to the ease of a single device. This unique approach enables Cerebras to achieve unmatched training and inference speeds, empowering machine learning professionals to seamlessly operate large-scale ML applications without the complexities of managing multiple GPUs or TPUs. Our esteemed clientele includes leading model labs, global corporations, and pioneering AI-native startups. Recently, OpenAI announced a multi-year partnership with Cerebras, aiming to leverage 750 megawatts of scale to transform critical workloads through ultra high-speed inference. With our groundbreaking wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than GPU-based hyperscale cloud inference services. This unprecedented speed enhances the user experience of AI applications, enabling real-time iterations and increased intelligence through advanced computation capabilities. About The RoleThe AI Infrastructure Operations Engineer (SiteOps) is an entry-level position focusing on the deployment, initialization, monitoring, and first-response troubleshooting of Cerebras AI infrastructure within data center settings. This role plays a critical part in supporting Cerebras systems, cluster server hardware, networking hardware, and monitoring tools.Your responsibilities will include ensuring the reliable operation and scalability of Cerebras AI clusters by executing established hardware initialization and validation protocols, monitoring telemetry data, performing initial troubleshooting, and escalating issues according to predefined workflows.

Cerebras Systems revolutionizes the AI landscape with the creation of the world’s largest AI chip, a remarkable 56 times larger than conventional GPUs. Our innovative wafer-scale architecture delivers the computational power of numerous GPUs on a single chip, simplifying programming efforts for users. This unique approach enables Cerebras to achieve unparalleled training and inference speeds, empowering machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing hundreds of GPUs or TPUs.Our clientele includes leading model laboratories, global enterprises, and pioneering AI-native startups. Notably, OpenAI recently announced a multi-year partnership with Cerebras to deploy 750 megawatts of scale, significantly enhancing key workloads with ultra-high-speed inference.Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, exceeding the performance of GPU-based hyperscale cloud inference services by over ten times. This significant speed enhancement transforms the user experience of AI applications, facilitating real-time iterations and augmented intelligence through additional agentic computation.About The RoleWe are on the lookout for a highly skilled and experienced AI Infrastructure Operations Engineer to oversee and manage our state-of-the-art machine learning compute clusters. In this role, you will have the unique opportunity to work with the world’s largest computer chip, the Wafer-Scale Engine (WSE), and the systems that leverage its extraordinary power.You will play a pivotal role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our expanding AI initiatives. This position requires an in-depth understanding of Linux-based systems, expertise in containerization technologies, and experience in monitoring and troubleshooting complex distributed systems. The ideal candidate is a proactive problem-solver with a strong background in large-scale compute infrastructure who is reliable and committed to customer success.

Cerebras Systems is at the forefront of AI technology, having developed the world's largest AI chip, which is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture combines the computational power of numerous GPUs onto a single chip with the ease of programming akin to a single device. This unique design enables Cerebras to achieve unparalleled training and inference speeds, making it possible for machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing multiple GPUs or TPUs.Our esteemed clientele includes leading model labs, global enterprises, and pioneering AI-native startups. Notably, OpenAI has recently forged a multi-year partnership with Cerebras, committing to deploy 750 megawatts of scale, thereby revolutionizing critical workloads through ultra high-speed inference.Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution available today, exceeding the speed of GPU-based hyperscale cloud inference services by more than tenfold. This significant speed enhancement is reshaping the AI application user experience, facilitating real-time iterations and amplifying intelligence through additional agentic computation.About The RoleThis Senior Technical Program Manager role is pivotal in overseeing site and data center operations programs that support Cerebras’ AI Cloud and customer deployments. This position is based at our Sunnyvale headquarters and involves close collaboration with Hardware Engineering, Inference Engineering, and Operations leadership to ensure that Cerebras systems are deployed, operated, and scaled reliably.This is a highly technical, execution-driven TPM role emphasizing operational readiness, cross-functional collaboration, and the establishment of metrics and KPIs.ResponsibilitiesLead end-to-end technical programs for data center and site operationsServe as the single-threaded owner across: Hardware & Systems EngineeringAI Cloud Infrastructure & Operations

Join our dynamic team at Intuitive Surgical, where we are shaping the future of minimally invasive surgery. As a Quality Assurance Manager specializing in Quality Management Systems, you will play a pivotal role in ensuring our products meet the highest standards of quality and safety. You will lead a team dedicated to enhancing our quality assurance processes and compliance with regulatory requirements.

Role Overview DoorDash is hiring an Operations Manager focused on robotics. This position shapes how robotic technology supports and improves delivery operations across several California locations: Dublin, San Jose, Sunnyvale, and Fremont. What You Will Do Lead cross-functional teams working on robotics projects within logistics and delivery. Implement new solutions to integrate robotics into daily operations. Work to streamline processes and ensure smooth adoption of technology. Apply strategic thinking and operational knowledge to improve service quality for customers. Location This role is based in Dublin, CA; San Jose, CA; Sunnyvale, CA; or Fremont, CA.

Cerebras Systems is at the forefront of AI innovation, creating the world's largest AI chip that is 56 times larger than conventional GPUs. Our unique wafer-scale architecture combines the computational power of numerous GPUs into a single chip, offering unparalleled programming simplicity. This allows us to deliver exceptional training and inference speeds, enabling machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing multiple GPUs or TPUs.We are proud to serve a diverse clientele, including leading model laboratories, global corporations, and pioneering AI-native startups. Notably, OpenAI has recently partnered with Cerebras to leverage our technology, deploying 750 megawatts of scale to revolutionize key workloads through ultra-high-speed inference.With our cutting-edge wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, boasting speeds over 10 times quicker than GPU-based hyperscale cloud inference services. This remarkable enhancement transforms the user experience of AI applications, facilitating real-time iteration and amplifying intelligence through enhanced computational capabilities.Job SummaryThe Sourcing Manager for Critical Components will lead the development and execution of global sourcing strategies aimed at securing high-quality and cost-effective critical components and materials. This position is pivotal in ensuring supply chain continuity, minimizing risks, and fostering innovation through market analysis, supplier relationship management, and advanced negotiation strategies. The manager will collaborate with cross-functional teams to synchronize procurement efforts with organizational objectives, enhance procurement processes, and strengthen supplier partnerships.Key Responsibilities:Strategic Sourcing: Formulate and deploy comprehensive sourcing strategies for critical components that align with long-term business goals and maintain a competitive edge.Supplier Management: Cultivate and maintain robust relationships with key suppliers, conduct routine performance evaluations, and oversee contracts to ensure compliance with terms and mitigation of risks.Cost Optimization: Identify and implement cost-saving initiatives while ensuring quality standards are met.